Establish governance before scaling AI
Many organizations begin their AI journey by deploying new tools and capabilities as quickly as possible. While this approach can accelerate experimentation, it can also introduce challenges. Without clear governance, employees might adopt different tools, use AI inconsistently, or become uncertain about which solutions are approved for business use.
As organizations expand their use of AI, governance becomes an important part of creating reliable and trustworthy experiences. In the context of AI, governance is the framework organizations use to define how AI tools are deployed, managed, and used across the business. Instead of treating governance as a barrier to innovation, organizations can use it to establish the policies, controls, and management practices needed to scale AI confidently.
Why AI governance matters
AI can help employees work more efficiently by providing access to information, generating content, and assisting with everyday tasks. However, organizations also need visibility into how AI is being used and the ability to manage those experiences across the organization.
Establishing governance early can help organizations:
- Provide consistent AI experiences for employees.
- Define which AI capabilities are available and how they're used.
- Help manage AI licensing, usage, and associated costs across the organization.
- Reduce the complexity associated with managing multiple AI tools.
- Support security, compliance, and organizational requirements.
- Build trust in AI-powered experiences.
When governance is implemented from the beginning, employees spend less time determining which tools to use and more time focusing on their work.